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        <h1 id="Python爬虫之数据处理"><a href="#Python爬虫之数据处理" class="headerlink" title="Python爬虫之数据处理"></a>Python爬虫之数据处理</h1><a id="more"></a>
<h2 id="json"><a href="#json" class="headerlink" title="json"></a>json</h2><h3 id="基本介绍"><a href="#基本介绍" class="headerlink" title="基本介绍"></a>基本介绍</h3><p>JSON(JavaScript Object Notation, JS 对象简谱) 是一种轻量级的数据交换格式。<br>一些好用的json转换网站：<a href="http://www.json.cn" target="_blank" rel="noopener">www.json.cn</a></p>
<p>JSON支持数据格式:</p>
<ul>
<li>对象(字典)。使用花括号。</li>
<li>数组(列表)。使用方括号。</li>
<li>整形、浮点型、布尔类型还有null类型。</li>
<li>字符串类型(字符串必须要用双引号，不能用单引号)。</li>
</ul>
<p>多个数据之间使用逗号分开。<br>注意:<strong> json本质上就是一个字符串。</strong></p>
<h3 id="将python对象转换为json字符串"><a href="#将python对象转换为json字符串" class="headerlink" title="将python对象转换为json字符串"></a>将python对象转换为json字符串</h3><h4 id="dump和dumps"><a href="#dump和dumps" class="headerlink" title="dump和dumps"></a>dump和dumps</h4><p>举例代码如下：<br><figure class="highlight python"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br><span class="line">5</span><br><span class="line">6</span><br><span class="line">7</span><br><span class="line">8</span><br><span class="line">9</span><br><span class="line">10</span><br><span class="line">11</span><br><span class="line">12</span><br><span class="line">13</span><br><span class="line">14</span><br><span class="line">15</span><br><span class="line">16</span><br><span class="line">17</span><br><span class="line">18</span><br><span class="line">19</span><br><span class="line">20</span><br><span class="line">21</span><br><span class="line">22</span><br><span class="line">23</span><br><span class="line">24</span><br><span class="line">25</span><br><span class="line">26</span><br><span class="line">27</span><br><span class="line">28</span><br><span class="line">29</span><br><span class="line">30</span><br><span class="line">31</span><br><span class="line">32</span><br><span class="line">33</span><br><span class="line">34</span><br><span class="line">35</span><br><span class="line">36</span><br><span class="line">37</span><br><span class="line">38</span><br><span class="line">39</span><br></pre></td><td class="code"><pre><span class="line"><span class="comment">#encoding: utf-8</span></span><br><span class="line"></span><br><span class="line"><span class="keyword">import</span> json</span><br><span class="line"></span><br><span class="line"><span class="comment"># 将python对象转换为json字符串</span></span><br><span class="line"></span><br><span class="line">persons = [</span><br><span class="line">    &#123;</span><br><span class="line">        <span class="string">'username'</span>:<span class="string">"张三"</span>,</span><br><span class="line">        <span class="string">'age'</span>: <span class="number">18</span>,</span><br><span class="line">        <span class="string">'country'</span>: <span class="string">'china'</span></span><br><span class="line">    &#125;,</span><br><span class="line">    &#123;</span><br><span class="line">        <span class="string">'username'</span>: <span class="string">'李赛'</span>,</span><br><span class="line">        <span class="string">'age'</span>: <span class="number">20</span>,</span><br><span class="line">        <span class="string">'country'</span>: <span class="string">'china'</span></span><br><span class="line">    &#125;</span><br><span class="line">]</span><br><span class="line"></span><br><span class="line"><span class="comment"># 方法一</span></span><br><span class="line"><span class="comment"># json_str = json.dumps(persons) # dumps注意有s</span></span><br><span class="line"><span class="comment"># with open('person.json','w') as fp:</span></span><br><span class="line"><span class="comment">#      fp.write(json_str)</span></span><br><span class="line"></span><br><span class="line"><span class="comment"># 方法二</span></span><br><span class="line"><span class="comment"># 因为json在dump的吋候，只能存放ascii的字符，因此会将中文迸行转义，这吋候我们可以使用ensure_ ascii=False 关闭这个特性。</span></span><br><span class="line"></span><br><span class="line"><span class="keyword">with</span> open(<span class="string">'person.json'</span>,<span class="string">'w'</span>,encoding=<span class="string">'utf-8'</span>) <span class="keyword">as</span> fp:</span><br><span class="line">    json.dump(persons,fp,ensure_ascii=<span class="literal">False</span>) <span class="comment"># 第二个参数是为了中文不会变成ASCII码形式，dump注意没有s</span></span><br><span class="line"></span><br><span class="line"><span class="comment"># 在Python中。只有基本数据类型オ能转换成json格式的字符串。也即: int 、float、list、dict 、tuple o</span></span><br><span class="line"></span><br><span class="line"><span class="comment"># class Person(object):# 非基本数据类型不能被转化为json.</span></span><br><span class="line"><span class="comment">#     country = 'china'</span></span><br><span class="line"><span class="comment">#</span></span><br><span class="line"><span class="comment"># a = &#123;</span></span><br><span class="line"><span class="comment">#     'person': Person()</span></span><br><span class="line"><span class="comment"># &#125;</span></span><br><span class="line"><span class="comment"># json.dumps(a)</span></span><br></pre></td></tr></table></figure></p>
<p>运行结果：生成一个person.json文件里面的内容是：</p>
<figure class="highlight json"><table><tr><td class="gutter"><pre><span class="line">1</span><br></pre></td><td class="code"><pre><span class="line">[&#123;<span class="attr">"username"</span>: <span class="string">"张三"</span>, <span class="attr">"age"</span>: <span class="number">18</span>, <span class="attr">"country"</span>: <span class="string">"china"</span>&#125;, &#123;<span class="attr">"username"</span>: <span class="string">"李赛"</span>, <span class="attr">"age"</span>: <span class="number">20</span>, <span class="attr">"country"</span>: <span class="string">"china"</span>&#125;]</span><br></pre></td></tr></table></figure>
<h3 id="将一个json字符串转化成python对象"><a href="#将一个json字符串转化成python对象" class="headerlink" title="将一个json字符串转化成python对象"></a>将一个json字符串转化成python对象</h3><h4 id="load-和loads"><a href="#load-和loads" class="headerlink" title="load 和loads"></a>load 和loads</h4><figure class="highlight python"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br><span class="line">5</span><br><span class="line">6</span><br><span class="line">7</span><br><span class="line">8</span><br><span class="line">9</span><br><span class="line">10</span><br><span class="line">11</span><br><span class="line">12</span><br><span class="line">13</span><br><span class="line">14</span><br><span class="line">15</span><br><span class="line">16</span><br></pre></td><td class="code"><pre><span class="line"><span class="comment">#encoding: utf-8</span></span><br><span class="line"><span class="keyword">import</span> json</span><br><span class="line"></span><br><span class="line"><span class="comment"># 方法一</span></span><br><span class="line">json_str = <span class="string">'[&#123;"username": "张三", "age": 18, "country": "china"&#125;, &#123;"username": "李赛", "age": 20, "country": "china"&#125;]'</span></span><br><span class="line">persons = json.loads(json_str)</span><br><span class="line">print(type(persons))</span><br><span class="line"><span class="keyword">for</span> person <span class="keyword">in</span> persons:</span><br><span class="line">    print(person)</span><br><span class="line"></span><br><span class="line"><span class="comment"># 方法二</span></span><br><span class="line"><span class="comment"># with open('person.json','r',encoding='utf-8') as fp:</span></span><br><span class="line"><span class="comment">#     persons = json.load(fp)</span></span><br><span class="line"><span class="comment">#     print(type(persons))</span></span><br><span class="line"><span class="comment">#     for person in persons:</span></span><br><span class="line"><span class="comment">#         print(person)</span></span><br></pre></td></tr></table></figure>
<p>运行结果：</p>
<figure class="highlight plain"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br></pre></td><td class="code"><pre><span class="line">&lt;class &apos;list&apos;&gt;</span><br><span class="line">&#123;&apos;username&apos;: &apos;张三&apos;, &apos;age&apos;: 18, &apos;country&apos;: &apos;china&apos;&#125;</span><br><span class="line">&#123;&apos;username&apos;: &apos;李赛&apos;, &apos;age&apos;: 20, &apos;country&apos;: &apos;china&apos;&#125;</span><br></pre></td></tr></table></figure>
<h2 id="CSV"><a href="#CSV" class="headerlink" title="CSV"></a>CSV</h2><h3 id="基本介绍-1"><a href="#基本介绍-1" class="headerlink" title="基本介绍"></a>基本介绍</h3><p>  逗号分隔值(Comma-Separated Values，CSV，有时也称为字符分隔值，因为分隔字符也可以不是逗号)，其文件以纯文本形式存储表格数据(数字和文本)。</p>
<ul>
<li>纯文本，使用某个字符集，比如ASCII、Unicode、EBCDIC或GB2312;</li>
<li>由记录组成(典型的是每行一条记录);</li>
<li>每条记录被分隔符分隔为字段(典型分隔符有逗号、分号或制表符;有时分隔符可以包括可选的空格);</li>
<li>每条记录都有同样的字段序列。</li>
</ul>
<h3 id="读取csv文件"><a href="#读取csv文件" class="headerlink" title="读取csv文件"></a>读取csv文件</h3><h4 id="reader-返回列表下标读取"><a href="#reader-返回列表下标读取" class="headerlink" title="reader()返回列表下标读取"></a>reader()返回列表下标读取</h4><figure class="highlight python"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br><span class="line">5</span><br><span class="line">6</span><br><span class="line">7</span><br><span class="line">8</span><br><span class="line">9</span><br><span class="line">10</span><br><span class="line">11</span><br><span class="line">12</span><br><span class="line">13</span><br><span class="line">14</span><br><span class="line">15</span><br><span class="line">16</span><br><span class="line">17</span><br><span class="line">18</span><br></pre></td><td class="code"><pre><span class="line"><span class="comment">#encoding: utf-8</span></span><br><span class="line"></span><br><span class="line"><span class="keyword">import</span> csv</span><br><span class="line"></span><br><span class="line"></span><br><span class="line"><span class="comment"># 通过下标获取</span></span><br><span class="line"><span class="function"><span class="keyword">def</span> <span class="title">read_csv_demo1</span><span class="params">()</span>:</span></span><br><span class="line">    <span class="keyword">with</span> open(<span class="string">'stock.csv'</span>, <span class="string">'r'</span>) <span class="keyword">as</span> fp:</span><br><span class="line">        <span class="comment"># reader是一个迭代器</span></span><br><span class="line">        reader = csv.reader(fp) <span class="comment"># 列表</span></span><br><span class="line">        next(reader) <span class="comment"># 向下面移动一行 ，跳过标题数据</span></span><br><span class="line">        <span class="keyword">for</span> x <span class="keyword">in</span> reader:</span><br><span class="line">            name = x[<span class="number">3</span>]</span><br><span class="line">            volumn = x[<span class="number">-1</span>]</span><br><span class="line">            print(&#123;<span class="string">'name'</span>: name, <span class="string">'volumn'</span>: volumn&#125;)</span><br><span class="line"></span><br><span class="line"><span class="keyword">if</span> __name__ == <span class="string">'__main__'</span>:</span><br><span class="line">    read_csv_demo1()</span><br></pre></td></tr></table></figure>
<h4 id="DictReader-返回字典key读取"><a href="#DictReader-返回字典key读取" class="headerlink" title="DictReader()返回字典key读取"></a>DictReader()返回字典key读取</h4><figure class="highlight python"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br><span class="line">5</span><br><span class="line">6</span><br><span class="line">7</span><br><span class="line">8</span><br><span class="line">9</span><br><span class="line">10</span><br><span class="line">11</span><br><span class="line">12</span><br><span class="line">13</span><br><span class="line">14</span><br><span class="line">15</span><br><span class="line">16</span><br><span class="line">17</span><br></pre></td><td class="code"><pre><span class="line"><span class="comment">#encoding: utf-8</span></span><br><span class="line"></span><br><span class="line"><span class="keyword">import</span> csv</span><br><span class="line"></span><br><span class="line"><span class="comment"># 通过key获取</span></span><br><span class="line"><span class="function"><span class="keyword">def</span> <span class="title">read_csv_demo2</span><span class="params">()</span>:</span></span><br><span class="line">    <span class="keyword">with</span> open(<span class="string">'stock.csv'</span>,<span class="string">'r'</span>) <span class="keyword">as</span> fp:</span><br><span class="line">        <span class="comment"># 使用DictReader创建的reader对象</span></span><br><span class="line">        <span class="comment"># 不会包含标题那行的数据</span></span><br><span class="line">        <span class="comment"># reader是一个迭代器，遍历这个迭代器，返回来的是一个字典。</span></span><br><span class="line">        reader = csv.DictReader(fp) <span class="comment">#字典</span></span><br><span class="line">        <span class="keyword">for</span> x <span class="keyword">in</span> reader:</span><br><span class="line">            value = &#123;<span class="string">"name"</span>:x[<span class="string">'secShortName'</span>],<span class="string">'volumn'</span>:x[<span class="string">'turnoverVol'</span>]&#125;</span><br><span class="line">            print(value)</span><br><span class="line"></span><br><span class="line"><span class="keyword">if</span> __name__ == <span class="string">'__main__'</span>:</span><br><span class="line">    read_csv_demo2()</span><br></pre></td></tr></table></figure>
<h3 id="写入csv文件"><a href="#写入csv文件" class="headerlink" title="写入csv文件"></a>写入csv文件</h3><h4 id="writer"><a href="#writer" class="headerlink" title="writer()"></a>writer()</h4><figure class="highlight python"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br><span class="line">5</span><br><span class="line">6</span><br><span class="line">7</span><br><span class="line">8</span><br><span class="line">9</span><br><span class="line">10</span><br><span class="line">11</span><br><span class="line">12</span><br><span class="line">13</span><br><span class="line">14</span><br><span class="line">15</span><br><span class="line">16</span><br><span class="line">17</span><br><span class="line">18</span><br><span class="line">19</span><br><span class="line">20</span><br><span class="line">21</span><br></pre></td><td class="code"><pre><span class="line"><span class="comment">#encoding: utf-8</span></span><br><span class="line"></span><br><span class="line"><span class="keyword">import</span> csv</span><br><span class="line"></span><br><span class="line"><span class="function"><span class="keyword">def</span> <span class="title">write_csv_demo1</span><span class="params">()</span>:</span></span><br><span class="line">    headers = [<span class="string">'username'</span>, <span class="string">'age'</span>, <span class="string">'height'</span>]</span><br><span class="line">    values = [</span><br><span class="line">        (<span class="string">'張三'</span>, <span class="number">18</span>, <span class="number">180</span>),</span><br><span class="line">        (<span class="string">'李四'</span>, <span class="number">19</span>, <span class="number">190</span>),</span><br><span class="line">        (<span class="string">'王五'</span>, <span class="number">20</span>, <span class="number">160</span>)</span><br><span class="line">    ]</span><br><span class="line"></span><br><span class="line">    <span class="keyword">with</span> open(<span class="string">'classroom.csv'</span>, <span class="string">'w'</span>, encoding=<span class="string">'utf-8'</span>, newline=<span class="string">''</span>) <span class="keyword">as</span> fp:</span><br><span class="line">        <span class="comment"># 解决乱码 ，第三个参数是每行结束符，</span></span><br><span class="line">        <span class="comment"># 默认为一行空行,这里换成空。</span></span><br><span class="line">        writer = csv.writer(fp)</span><br><span class="line">        writer.writerow(headers)</span><br><span class="line">        writer.writerows(values)</span><br><span class="line"></span><br><span class="line"><span class="keyword">if</span> __name__ == <span class="string">'__main__'</span>:</span><br><span class="line">    write_csv_demo1()</span><br></pre></td></tr></table></figure>
<h4 id="DictWriter"><a href="#DictWriter" class="headerlink" title="DictWriter()"></a>DictWriter()</h4><figure class="highlight python"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br><span class="line">5</span><br><span class="line">6</span><br><span class="line">7</span><br><span class="line">8</span><br><span class="line">9</span><br><span class="line">10</span><br><span class="line">11</span><br><span class="line">12</span><br><span class="line">13</span><br><span class="line">14</span><br><span class="line">15</span><br><span class="line">16</span><br><span class="line">17</span><br><span class="line">18</span><br><span class="line">19</span><br><span class="line">20</span><br></pre></td><td class="code"><pre><span class="line"><span class="comment">#encoding: utf-8</span></span><br><span class="line"></span><br><span class="line"><span class="keyword">import</span> csv</span><br><span class="line"></span><br><span class="line"><span class="function"><span class="keyword">def</span> <span class="title">write_csv_demo2</span><span class="params">()</span>:</span></span><br><span class="line">    headers = [<span class="string">'username'</span>, <span class="string">'age'</span>, <span class="string">'height'</span>]</span><br><span class="line">    values = [</span><br><span class="line">        &#123;<span class="string">'username'</span>:<span class="string">'张三'</span>,<span class="string">'age'</span>:<span class="number">18</span>,<span class="string">'height'</span>:<span class="number">180</span>&#125;,</span><br><span class="line">        &#123;<span class="string">'username'</span>:<span class="string">'李四'</span>,<span class="string">'age'</span>:<span class="number">19</span>,<span class="string">'height'</span>:<span class="number">190</span>&#125;,</span><br><span class="line">        &#123;<span class="string">'username'</span>:<span class="string">'王五'</span>,<span class="string">'age'</span>:<span class="number">20</span>,<span class="string">'height'</span>:<span class="number">160</span>&#125;</span><br><span class="line">    ]</span><br><span class="line">    <span class="keyword">with</span> open(<span class="string">'classroo1.csv'</span>,<span class="string">'w'</span>,encoding=<span class="string">'utf-8'</span>,newline=<span class="string">''</span>) <span class="keyword">as</span> fp:</span><br><span class="line">        writer = csv.DictWriter(fp,headers) <span class="comment"># 表头是列表，不会自动写入的</span></span><br><span class="line">        <span class="comment"># 写入表头数据的时候，需要调用writeheader方法</span></span><br><span class="line">        writer.writeheader()</span><br><span class="line">        writer.writerows(values)</span><br><span class="line"></span><br><span class="line"></span><br><span class="line"><span class="keyword">if</span> __name__ == <span class="string">'__main__'</span>:</span><br><span class="line">    write_csv_demo2()</span><br></pre></td></tr></table></figure>
      
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  <script src="//cdn1.lncld.net/static/js/3.0.4/av-min.js"></script>
  <script src="//unpkg.com/valine/dist/Valine.min.js"></script>
  
  <script type="text/javascript">
    var GUEST = ['nick','mail','link'];
    var guest = 'nick,mail,link';
    guest = guest.split(',').filter(item=>{
      return GUEST.indexOf(item)>-1;
    });
    new Valine({
        el: '#comments' ,
        verify: false,
        notify: false,
        appId: 'e69lyQSoCtoaLGljT3kXLBEQ-gzGzoHsz',
        appKey: 'pRDcFfyQnO4jQWxElUFupJ2D',
        placeholder: 'Just go go',
        avatar:'mm',
        guest_info:guest,
        pageSize:'10' || 10,
    });
  </script>



  

  <script type="text/javascript">
    // Popup Window;
    var isfetched = false;
    var isXml = true;
    // Search DB path;
    var search_path = "search.xml";
    if (search_path.length === 0) {
      search_path = "search.xml";
    } else if (/json$/i.test(search_path)) {
      isXml = false;
    }
    var path = "/" + search_path;
    // monitor main search box;

    var onPopupClose = function (e) {
      $('.popup').hide();
      $('#local-search-input').val('');
      $('.search-result-list').remove();
      $('#no-result').remove();
      $(".local-search-pop-overlay").remove();
      $('body').css('overflow', '');
    }

    function proceedsearch() {
      $("body")
        .append('<div class="search-popup-overlay local-search-pop-overlay"></div>')
        .css('overflow', 'hidden');
      $('.search-popup-overlay').click(onPopupClose);
      $('.popup').toggle();
      var $localSearchInput = $('#local-search-input');
      $localSearchInput.attr("autocapitalize", "none");
      $localSearchInput.attr("autocorrect", "off");
      $localSearchInput.focus();
    }

    // search function;
    var searchFunc = function(path, search_id, content_id) {
      'use strict';

      // start loading animation
      $("body")
        .append('<div class="search-popup-overlay local-search-pop-overlay">' +
          '<div id="search-loading-icon">' +
          '<i class="fa fa-spinner fa-pulse fa-5x fa-fw"></i>' +
          '</div>' +
          '</div>')
        .css('overflow', 'hidden');
      $("#search-loading-icon").css('margin', '20% auto 0 auto').css('text-align', 'center');

      $.ajax({
        url: path,
        dataType: isXml ? "xml" : "json",
        async: true,
        success: function(res) {
          // get the contents from search data
          isfetched = true;
          $('.popup').detach().appendTo('.header-inner');
          var datas = isXml ? $("entry", res).map(function() {
            return {
              title: $("title", this).text(),
              content: $("content",this).text(),
              url: $("url" , this).text()
            };
          }).get() : res;
          var input = document.getElementById(search_id);
          var resultContent = document.getElementById(content_id);
          var inputEventFunction = function() {
            var searchText = input.value.trim().toLowerCase();
            var keywords = searchText.split(/[\s\-]+/);
            if (keywords.length > 1) {
              keywords.push(searchText);
            }
            var resultItems = [];
            if (searchText.length > 0) {
              // perform local searching
              datas.forEach(function(data) {
                var isMatch = false;
                var hitCount = 0;
                var searchTextCount = 0;
                var title = data.title.trim();
                var titleInLowerCase = title.toLowerCase();
                var content = data.content.trim().replace(/<[^>]+>/g,"");
                var contentInLowerCase = content.toLowerCase();
                var articleUrl = decodeURIComponent(data.url);
                var indexOfTitle = [];
                var indexOfContent = [];
                // only match articles with not empty titles
                if(title != '') {
                  keywords.forEach(function(keyword) {
                    function getIndexByWord(word, text, caseSensitive) {
                      var wordLen = word.length;
                      if (wordLen === 0) {
                        return [];
                      }
                      var startPosition = 0, position = [], index = [];
                      if (!caseSensitive) {
                        text = text.toLowerCase();
                        word = word.toLowerCase();
                      }
                      while ((position = text.indexOf(word, startPosition)) > -1) {
                        index.push({position: position, word: word});
                        startPosition = position + wordLen;
                      }
                      return index;
                    }

                    indexOfTitle = indexOfTitle.concat(getIndexByWord(keyword, titleInLowerCase, false));
                    indexOfContent = indexOfContent.concat(getIndexByWord(keyword, contentInLowerCase, false));
                  });
                  if (indexOfTitle.length > 0 || indexOfContent.length > 0) {
                    isMatch = true;
                    hitCount = indexOfTitle.length + indexOfContent.length;
                  }
                }

                // show search results

                if (isMatch) {
                  // sort index by position of keyword

                  [indexOfTitle, indexOfContent].forEach(function (index) {
                    index.sort(function (itemLeft, itemRight) {
                      if (itemRight.position !== itemLeft.position) {
                        return itemRight.position - itemLeft.position;
                      } else {
                        return itemLeft.word.length - itemRight.word.length;
                      }
                    });
                  });

                  // merge hits into slices

                  function mergeIntoSlice(text, start, end, index) {
                    var item = index[index.length - 1];
                    var position = item.position;
                    var word = item.word;
                    var hits = [];
                    var searchTextCountInSlice = 0;
                    while (position + word.length <= end && index.length != 0) {
                      if (word === searchText) {
                        searchTextCountInSlice++;
                      }
                      hits.push({position: position, length: word.length});
                      var wordEnd = position + word.length;

                      // move to next position of hit

                      index.pop();
                      while (index.length != 0) {
                        item = index[index.length - 1];
                        position = item.position;
                        word = item.word;
                        if (wordEnd > position) {
                          index.pop();
                        } else {
                          break;
                        }
                      }
                    }
                    searchTextCount += searchTextCountInSlice;
                    return {
                      hits: hits,
                      start: start,
                      end: end,
                      searchTextCount: searchTextCountInSlice
                    };
                  }

                  var slicesOfTitle = [];
                  if (indexOfTitle.length != 0) {
                    slicesOfTitle.push(mergeIntoSlice(title, 0, title.length, indexOfTitle));
                  }

                  var slicesOfContent = [];
                  while (indexOfContent.length != 0) {
                    var item = indexOfContent[indexOfContent.length - 1];
                    var position = item.position;
                    var word = item.word;
                    // cut out 100 characters
                    var start = position - 20;
                    var end = position + 80;
                    if(start < 0){
                      start = 0;
                    }
                    if (end < position + word.length) {
                      end = position + word.length;
                    }
                    if(end > content.length){
                      end = content.length;
                    }
                    slicesOfContent.push(mergeIntoSlice(content, start, end, indexOfContent));
                  }

                  // sort slices in content by search text's count and hits' count

                  slicesOfContent.sort(function (sliceLeft, sliceRight) {
                    if (sliceLeft.searchTextCount !== sliceRight.searchTextCount) {
                      return sliceRight.searchTextCount - sliceLeft.searchTextCount;
                    } else if (sliceLeft.hits.length !== sliceRight.hits.length) {
                      return sliceRight.hits.length - sliceLeft.hits.length;
                    } else {
                      return sliceLeft.start - sliceRight.start;
                    }
                  });

                  // select top N slices in content

                  var upperBound = parseInt('1');
                  if (upperBound >= 0) {
                    slicesOfContent = slicesOfContent.slice(0, upperBound);
                  }

                  // highlight title and content

                  function highlightKeyword(text, slice) {
                    var result = '';
                    var prevEnd = slice.start;
                    slice.hits.forEach(function (hit) {
                      result += text.substring(prevEnd, hit.position);
                      var end = hit.position + hit.length;
                      result += '<b class="search-keyword">' + text.substring(hit.position, end) + '</b>';
                      prevEnd = end;
                    });
                    result += text.substring(prevEnd, slice.end);
                    return result;
                  }

                  var resultItem = '';

                  if (slicesOfTitle.length != 0) {
                    resultItem += "<li><a href='" + articleUrl + "' class='search-result-title'>" + highlightKeyword(title, slicesOfTitle[0]) + "</a>";
                  } else {
                    resultItem += "<li><a href='" + articleUrl + "' class='search-result-title'>" + title + "</a>";
                  }

                  slicesOfContent.forEach(function (slice) {
                    resultItem += "<a href='" + articleUrl + "'>" +
                      "<p class=\"search-result\">" + highlightKeyword(content, slice) +
                      "...</p>" + "</a>";
                  });

                  resultItem += "</li>";
                  resultItems.push({
                    item: resultItem,
                    searchTextCount: searchTextCount,
                    hitCount: hitCount,
                    id: resultItems.length
                  });
                }
              })
            };
            if (keywords.length === 1 && keywords[0] === "") {
              resultContent.innerHTML = '<div id="no-result"><i class="fa fa-search fa-5x" /></div>'
            } else if (resultItems.length === 0) {
              resultContent.innerHTML = '<div id="no-result"><i class="fa fa-frown-o fa-5x" /></div>'
            } else {
              resultItems.sort(function (resultLeft, resultRight) {
                if (resultLeft.searchTextCount !== resultRight.searchTextCount) {
                  return resultRight.searchTextCount - resultLeft.searchTextCount;
                } else if (resultLeft.hitCount !== resultRight.hitCount) {
                  return resultRight.hitCount - resultLeft.hitCount;
                } else {
                  return resultRight.id - resultLeft.id;
                }
              });
              var searchResultList = '<ul class=\"search-result-list\">';
              resultItems.forEach(function (result) {
                searchResultList += result.item;
              })
              searchResultList += "</ul>";
              resultContent.innerHTML = searchResultList;
            }
          }

          if ('auto' === 'auto') {
            input.addEventListener('input', inputEventFunction);
          } else {
            $('.search-icon').click(inputEventFunction);
            input.addEventListener('keypress', function (event) {
              if (event.keyCode === 13) {
                inputEventFunction();
              }
            });
          }

          // remove loading animation
          $(".local-search-pop-overlay").remove();
          $('body').css('overflow', '');

          proceedsearch();
        }
      });
    }

    // handle and trigger popup window;
    $('.popup-trigger').click(function(e) {
      e.stopPropagation();
      if (isfetched === false) {
        searchFunc(path, 'local-search-input', 'local-search-result');
      } else {
        proceedsearch();
      };
    });

    $('.popup-btn-close').click(onPopupClose);
    $('.popup').click(function(e){
      e.stopPropagation();
    });
    $(document).on('keyup', function (event) {
      var shouldDismissSearchPopup = event.which === 27 &&
        $('.search-popup').is(':visible');
      if (shouldDismissSearchPopup) {
        onPopupClose();
      }
    });
  </script>





  

  

  

  
  

  

  

  


  
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   <script type="text/javascript" src="//cdn.bootcss.com/animejs/2.2.0/anime.min.js"></script> 
   <script type="text/javascript" src="/js/src/fireworks.js"></script>
  

</body>
</html>
